---
title: "ART Notebooks"
sidebarTitle: "Notebooks"
description: "Use ART to train agents for many different tasks."
icon: "book"
---

<div className="full-width">

| Agent Task        | Notebook                                                                                                                               | Description                                     | Performance                                                                                                                                                                                                                                                         |
| ----------------- | -------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **ART•E [RULER]** | [🏋️&nbsp;Train&nbsp;agent](https://colab.research.google.com/github/openpipe/art/blob/main/examples/art-e/art-e.ipynb)                 | Qwen 2.5 7B learns to search emails using RULER | <a href="https://github.com/OpenPipe/ART/blob/main/examples/art-e/art_e/evaluate/display_benchmarks.ipynb"><img src="https://github.com/OpenPipe/ART/raw/main/assets/benchmarks/email_agent/accuracy-training-progress.svg" width="72" style={{margin: "0"}} /></a> |
| **2048**          | [🏋️&nbsp;Train&nbsp;agent](https://colab.research.google.com/github/openpipe/art/blob/main/examples/2048/2048.ipynb)                   | Qwen 2.5 3B learns to play 2048                 | <a href="https://github.com/OpenPipe/ART/blob/main/examples/2048/benchmark_2048.ipynb"><img src="https://github.com/OpenPipe/ART/raw/main/assets/benchmarks/2048/accuracy-training-progress.svg" width="72" style={{margin: "0"}} /></a>                            |
| **Temporal Clue** | [🏋️&nbsp;Train&nbsp;agent](https://colab.research.google.com/github/openpipe/art/blob/main/examples/temporal_clue/temporal-clue.ipynb) | Qwen 2.5 7B learns to solve Temporal Clue       | [Link coming soon]                                                                                                                                                                                                                                                  |
| **Tic Tac Toe**   | [🏋️&nbsp;Train&nbsp;agent](https://colab.research.google.com/github/openpipe/art/blob/main/examples/tic_tac_toe/tic-tac-toe.ipynb)     | Qwen 2.5 3B learns to play Tic Tac Toe          | <a href="https://github.com/OpenPipe/ART/blob/main/examples/tic_tac_toe/benchmark_tic_tac_toe.ipynb"><img src="https://github.com/OpenPipe/ART/raw/main/assets/benchmarks/tic-tac-toe-local/accuracy-training-progress.svg" width="72" style={{margin: "0"}} /></a> |
| **Codenames**     | [🏋️&nbsp;Train&nbsp;agent](https://colab.research.google.com/github/openpipe/art/blob/main/examples/codenames/Codenames_RL.ipynb)      | Qwen 2.5 3B learns to play Codenames            | <a href="https://github.com/OpenPipe/ART/blob/main/examples/codenames/Codenames_RL.ipynb"><img src="https://github.com/OpenPipe/ART/raw/main/assets/benchmarks/codenames/win_rate_over_time.png" width="72" style={{margin: "0"}} /></a>                            |

</div>
